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Solution
Landslide Geological Hazard Monitoring and Early Warning Solution
Background Introduction
Landslides are among the most common and most destructive types of geological hazards in China, frequently occurring in mountainous and hilly areas as well as in regions where houses are built on cut slopes. They are characterized by strong concealment, high suddenness, and significant destructive power.
Landslide hazards not only threaten the safety of people’s lives and property but also frequently trigger secondary disasters, such as transportation disruptions and damage to infrastructure. In recent years, with the increasing frequency of extreme rainfall events, the risk of landslides in areas subjected to human-induced disturbances—such as houses built on cut slopes, roadside slopes, and mine slopes—has risen markedly.
Traditional manual inspections and rudimentary monitoring methods suffer from significant monitoring blind spots, insufficient accuracy, poor real-time performance, and delayed early warnings, making it difficult to achieve precise, full‑process perception of landslide deformation and proactive early warning.
Accordingly, the development of a high-precision, all‑weather, intelligent landslide monitoring and early‑warning system—capable of real-time surveillance of surface displacements, crack propagation, and environmental factors, coupled with advanced analytical decision‑making—has become a critical technical tool in geological hazard prevention and control.
This solution is based on a visual‑intelligence deformation monitoring instrument and employs non‑contact, sub‑millimeter‑level precision visual measurement technology to deliver reliable, high‑efficiency online monitoring and early‑warning services for various landslide scenarios.
Solution Overview
This scheme is a set based on Machine vision and AI algorithm An intelligent online monitoring and early warning system for landslide geological hazards.
The core of the solution employs a visual‑intelligence deformation monitoring instrument that non‑contactly captures real‑time images of targets mounted on the slope. By leveraging sub‑pixel positioning and AI‑based image recognition algorithms, it accurately computes the horizontal and vertical displacements of these targets, enabling high‑precision, continuous monitoring of surface deformations on the slope.
The system comprises front-end visual monitoring devices, passive targets, environmental sensors (with optional rainfall, temperature and humidity, and soil moisture measurements), and a cloud-based early-warning platform.
The visual monitoring device is deployed on a building or a stable foundation, oriented toward multiple targets arranged in a diamond‑shaped grid on the slope. It automatically scans and tracks the displacement changes of each target. The collected data is transmitted in real time to the platform via 4G, LoRa, or Ethernet.
The platform features a multi-level early-warning model that automatically triggers web pop-up alerts, SMS messages, app push notifications, and on-site audio‑visual alarms when displacement exceeds the threshold or the target is lost (due to localized slope collapse), thereby achieving… “Monitoring–Analysis–Early Warning–Response” Closed-loop management.
The scheme is applicable to various landslide scenarios, including slope‑cutting for housing construction, highway slopes, mine slopes, and reservoir banks.
FEATURES OF THE SOLUTION
Sub-millimeter-level ultra-high precision
Multi-level early warning system
Intelligent Target Recognition and Tracking
Non-contact, large-scale monitoring
Multi-level early warning and on-site coordination
Edge Computing and Extended Access
Typical Configuration for Application Scenarios
The geological hazard monitoring and early warning platform comprises modules for station management, real-time monitoring, image-based surveillance, early warning management, information management, operation and maintenance inspections, statistical analysis, hazard‑spot management, and system administration.
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Contact Information
6th Floor, Building 10, Entrepreneurship Industrial Park, Chaoyang Township, Qixing District, Guilin City, Guangxi Zhuang Autonomous Region
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